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Automated provenance graphs for [email protected]

Research article (Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2020) · cited 10× · AI/ML
academia openalex:W3094776873
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Automated provenance graphs for [email protected]

Summary

Automated provenance graphs for [email protected] is a scholarly article[1].

Key Facts

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Automated provenance graphs for [email protected]. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-provenance-graphs-for-models-run-time
MLA “Automated provenance graphs for [email protected].” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-provenance-graphs-for-models-run-time.
BibTeX @misc{4ortxyz_automated-provenance-graphs-for-models-run-time_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated provenance graphs for [email protected]}}, year = {2026}, url = {https://4ort.xyz/entity/automated-provenance-graphs-for-models-run-time}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated provenance graphs for [email protected] — https://4ort.xyz/entity/automated-provenance-graphs-for-models-run-time (retrieved 2026-05-24)

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